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AI Application Developer

3 weeks ago

Davangere, Karnataka, India beBeeArtificialintelligenceengineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Opportunity

About the Role

We are seeking an experienced software developer to join our team as an AI/ML Engineer. This role involves designing, developing, and maintaining artificial intelligence applications using large language models (LLMs).

The ideal candidate will have a strong foundation in machine learning concepts and experience integrating external LLM APIs, such as OpenAI and Google.

  • Ai Agent Development: Design, develop, test, and maintain core logic for AI agents within FastAPI services.
  • LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs, design effective prompts for diverse tasks, and rigorously test them.
  • RAG Implementation: Implement and optimize Retrieval-Augmented Generation patterns using vector databases.
  • FastAPI Microservice Development: Build and maintain scalable FastAPI microservices that host AI agent logic and handle interactions with LLMs.
  • Data Processing for Ai: Prepare and preprocess data required for effective prompt context, RAG retrieval, and fine-tuning tasks.
  • Cross-functional Collaboration: Work with teams to deliver AI features and stay updated on LLM advancements.
Required Skills & Qualifications
  • Software Development Experience: 4-6 years of hands-on experience in software development with a strong focus on AI/ML application development.
  • LLM API Integration: Demonstrable experience integrating and utilizing external LLM APIs.
  • Prompt Engineering: Proven experience with prompt engineering techniques.
  • Python Programming: Strong Python programming skills.
  • RESTful API Development: Practical experience building and deploying RESTful APIs using FastAPI.
  • Application Logic Design: Experience designing and implementing application logic for AI-driven features or agents.
  • RAG Concepts: Understanding and practical experience with RAG concepts and vector databases.
  • Machine Learning Concepts: Solid understanding of core machine learning concepts and familiarity with frameworks like PyTorch and TensorFlow.
  • Cloud Platform Experience: Familiarity with cloud platforms and containerization for application deployment.
  • Problem-solving Skills: Solid problem-solving skills and clear communication abilities.
  • Agile Environment: Experience working effectively in an agile environment.
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